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Full-time
bachelor degree
Posted 28d ago
Apply by Oct 16
~40 hrs/week
Responsibilities
Design and build data infrastructure and pipelines to transform raw data into actionable business insights. Manage data architecture and database optimization using cloud platforms to support efficient processing and analysis.
Requirements
Requires a Bachelor's degree, at least one year of experience, and proficiency in English. Preference is given to candidates with backgrounds in Computer Science, Data Science, or Engineering with experience in Databricks and Snowflake.
Full job description
Industry/Sector
Not Applicable
Specialism
IFS - Administration
Management Level
Associate
Job Description & Summary
The Opportunity
Join our Acceleration Center Mexico and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.
As an Associate in Data and Analytics Engineering, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. As an Associate, you will be driven by curiosity and contribute to client engagement and projects while developing your skills and knowledge to deliver quality work. You will learn to build meaningful client connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources.
In this role at PwC Acceleration Center Mexico, you will transform raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Internal Firm Services practice, you will adapt to working with a variety of clients and team members, each presenting unique challenges and scope. Every experience is an opportunity to learn and grow, taking ownership and consistently delivering work that drives value for our clients and success as a team. You will build a brand for yourself, opening doors to more opportunities as you navigate through the firm.
Responsibilities
- Designing and developing data infrastructure and systems to support efficient data processing and analysis - Implementing data pipelines, integration, and transformation solutions to convert raw data into actionable insights - Utilizing platforms such as Apache Airflow and Azure Data Factory for scalable data engineering processes - Managing data architecture development and database optimization to enhance performance and reliability - Applying data validation and quality techniques to maintain data integrity and accuracy - Leveraging Amazon Web Services (AWS) and Microsoft Azure Databricks for cloud-based data solutions - Collaborating with team members to address diverse client needs and project challenges - Engaging in continuous learning to adapt to new technologies and methodologies in data engineering - Building a personal brand by consistently delivering quality work and contributing to team success - Gathering and analyzing information from various sources to discern patterns and inform decision-making
What You Must Have
- At least a Bachelor's degree - At least 1 years of experience - Oral and written proficiency in English required
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, Operations/Supply Chain - Demonstrating proficiency in data engineering platforms like Databricks and Snowflake - Utilizing cloud services such as AWS and Azure for data solutions - Applying knowledge of data architecture and modeling techniques - Excelling in database management and optimization strategies - Engaging in agile methodologies to enhance project delivery - Adapting to fast-paced environments with diverse client interactions
Travel Requirements
Job Posting End Date
octubre 16, 2026
Related keywords
Data EngineeringApache AirflowAzure Data FactoryAWSMicrosoft AzureDatabricksSnowflakeData ArchitectureData PipelinesData ModelingDatabase OptimizationAgileData ScienceAnalyticsCloud ComputingData Integration
At PwC, we help clients drive their companies to the leading edge. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help build, accelerate and sustain momentum. Find out more at www.pwc.com.
PwC: Audit and assurance, consulting and tax services
PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity. Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.
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How many Technology jobs are open in Ciudad de México, Mexico right now?
There are currently 1,884 open technology positions in Ciudad de México, Mexico listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Technology roles in Ciudad de México, Mexico?
Companies currently hiring include Banco Mercantil del Norte - Banorte, Kyndryl, Accenture, Salesforce, BBVA, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Technology jobs in Ciudad de México, Mexico?
Yes — 995 of the 1884 open technology positions offer remote or hybrid work (273 remote, 722 hybrid).
How do I apply for Technology jobs in Ciudad de México, Mexico?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.